Runoff Projection from an Alpine Watershed in Western Canada: Application of a Snowmelt Runoff Model

The rising global temperature is shifting the runoff patterns of snowmelt-dominated alpine watersheds, resulting in increased cold season flows, earlier spring peak flows, and reduced summer runoff. Projections of future runoff are beneficial in preparing for the anticipated changes in streamflow re...

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Main Authors: Kyle Siemens, Yonas Dibike, Rajesh R Shrestha, Terry Prowse
Format: Article
Language:English
Published: MDPI AG 2021-04-01
Series:Water
Subjects:
Online Access:https://www.mdpi.com/2073-4441/13/9/1199
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author Kyle Siemens
Yonas Dibike
Rajesh R Shrestha
Terry Prowse
author_facet Kyle Siemens
Yonas Dibike
Rajesh R Shrestha
Terry Prowse
author_sort Kyle Siemens
collection DOAJ
description The rising global temperature is shifting the runoff patterns of snowmelt-dominated alpine watersheds, resulting in increased cold season flows, earlier spring peak flows, and reduced summer runoff. Projections of future runoff are beneficial in preparing for the anticipated changes in streamflow regimes. This study applied the degree–day Snowmelt Runoff Model (SRM) in combination with the MODIS to remotely sense snow cover observations for modeling the snowmelt runoff response of the Upper Athabasca River Basin in western Canada. After assessing its ability to simulate the observed historical flows, the SRM was applied for projecting future runoff in the basin. The inclusion of a spatial and temporal variation in the degree–day factor (DDF) and separation of the DDF for glaciated and non-glaciated areas were found to be important for improved simulation of varying snow conditions over multiple years. The SRM simulations, driven by an ensemble of six statistically downscaled GCM runs under the RCP8.5 scenario for the future period (2070–2080), show a consistent pattern in projected runoff change, with substantial increases in May runoff, smaller increases over the winter months, and decreased runoff in the summer months (June–August). Despite the SRM’s relative simplicity and requirement of only a few input variables, the model performed well in simulating historical flows, and provides runoff projections consistent with historical trends and previous modeling studies.
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spelling doaj.art-cacec66ae0b947aebbb3defe2481d2a92023-11-21T17:13:02ZengMDPI AGWater2073-44412021-04-01139119910.3390/w13091199Runoff Projection from an Alpine Watershed in Western Canada: Application of a Snowmelt Runoff ModelKyle Siemens0Yonas Dibike1Rajesh R Shrestha2Terry Prowse3Department of Geography, Water and Climate Impacts Research Centre, University of Victoria, P.O. Box 1700 STN CSC, Victoria, BC V8W 2Y2, CanadaDepartment of Geography, Water and Climate Impacts Research Centre, University of Victoria, P.O. Box 1700 STN CSC, Victoria, BC V8W 2Y2, CanadaDepartment of Geography, Water and Climate Impacts Research Centre, University of Victoria, P.O. Box 1700 STN CSC, Victoria, BC V8W 2Y2, CanadaDepartment of Geography, Water and Climate Impacts Research Centre, University of Victoria, P.O. Box 1700 STN CSC, Victoria, BC V8W 2Y2, CanadaThe rising global temperature is shifting the runoff patterns of snowmelt-dominated alpine watersheds, resulting in increased cold season flows, earlier spring peak flows, and reduced summer runoff. Projections of future runoff are beneficial in preparing for the anticipated changes in streamflow regimes. This study applied the degree–day Snowmelt Runoff Model (SRM) in combination with the MODIS to remotely sense snow cover observations for modeling the snowmelt runoff response of the Upper Athabasca River Basin in western Canada. After assessing its ability to simulate the observed historical flows, the SRM was applied for projecting future runoff in the basin. The inclusion of a spatial and temporal variation in the degree–day factor (DDF) and separation of the DDF for glaciated and non-glaciated areas were found to be important for improved simulation of varying snow conditions over multiple years. The SRM simulations, driven by an ensemble of six statistically downscaled GCM runs under the RCP8.5 scenario for the future period (2070–2080), show a consistent pattern in projected runoff change, with substantial increases in May runoff, smaller increases over the winter months, and decreased runoff in the summer months (June–August). Despite the SRM’s relative simplicity and requirement of only a few input variables, the model performed well in simulating historical flows, and provides runoff projections consistent with historical trends and previous modeling studies.https://www.mdpi.com/2073-4441/13/9/1199Snowmelt Runoff Model (SRM)climate changedegree–dayUpper Athabasca River BasinhydrologyMODIS
spellingShingle Kyle Siemens
Yonas Dibike
Rajesh R Shrestha
Terry Prowse
Runoff Projection from an Alpine Watershed in Western Canada: Application of a Snowmelt Runoff Model
Water
Snowmelt Runoff Model (SRM)
climate change
degree–day
Upper Athabasca River Basin
hydrology
MODIS
title Runoff Projection from an Alpine Watershed in Western Canada: Application of a Snowmelt Runoff Model
title_full Runoff Projection from an Alpine Watershed in Western Canada: Application of a Snowmelt Runoff Model
title_fullStr Runoff Projection from an Alpine Watershed in Western Canada: Application of a Snowmelt Runoff Model
title_full_unstemmed Runoff Projection from an Alpine Watershed in Western Canada: Application of a Snowmelt Runoff Model
title_short Runoff Projection from an Alpine Watershed in Western Canada: Application of a Snowmelt Runoff Model
title_sort runoff projection from an alpine watershed in western canada application of a snowmelt runoff model
topic Snowmelt Runoff Model (SRM)
climate change
degree–day
Upper Athabasca River Basin
hydrology
MODIS
url https://www.mdpi.com/2073-4441/13/9/1199
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AT rajeshrshrestha runoffprojectionfromanalpinewatershedinwesterncanadaapplicationofasnowmeltrunoffmodel
AT terryprowse runoffprojectionfromanalpinewatershedinwesterncanadaapplicationofasnowmeltrunoffmodel